This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 278
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #306266
Title: Providing Double Protection for Unit Nonresponse with a Nonlinear Calibration Routine
Author(s): George Gordon Brown*+
Companies: RTI International
Address: 3040 Cornwallis Road, Research Triangle Park, NC, 27709-2194, USA
Keywords: Logistic model ; Generalized raking ; Prediction model ; Response model ; SUDAAN
Abstract:

There are at least two reasons to calibrate survey weights: force estimators to be unbiased under a prediction model and adjust for the bias caused by unit nonresponse. Although a prediction-model justification is possible, Lundströrm and Särndal (1999) argued that a unit's weight adjustment under calibration estimates the inverse of the unit's response probability. The functional form of the response model in their linear calibration adjustment is awkward and unlikely. We describe a nonlinear calibration procedure available in SUDAAN that includes a logistic response model, generalized raking, and bounds the weight adjustments limiting their inflationary impact on mean squared errors. Using this procedure provides double protection against nonresponse bias. If the linear prediction model or implied unit response model holds, the resulting estimator is asymptotically unbiased.


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